Sequence clustering in bioinformatics: an empirical study-Reference-Cited by-同舟云学术

Sequence clustering in bioinformatics: an empirical study

Published:2018-09-18 Issue: Volume: Page:
ISSN:1467-5463
Container-title:Briefings in Bioinformatics
language:en
Short-container-title:

Author:

Zou Quan¹²^ORCID,Lin Gang¹,Jiang Xingpeng³,Liu Xiangrong⁴,Zeng Xiangxiang⁴

Affiliation:

1. Tianjin University

2. University of Electronic Science and Technology of China

3. Central China Normal University

4. Xiamen University

Funder

National Key R&D Programof China

Shandong Provincial Key Laboratory of Biophysics

Publisher

Oxford University Press (OUP)

Subject

Molecular Biology,Information Systems

Link

http://academic.oup.com/bib/advance-article-pdf/doi/10.1093/bib/bby090/25790649/bby090.pdf

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3. Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences;Liu;Nucleic Acids Res,2015

4. PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions;Chen;Bioinformatics,2014

5. Unsupervised pattern recognition: an introduction to the whys and wherefores of clustering microarray data;Boutros;Brief Bioinform,2005

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